Trace each field
A reviewer should be able to move from an extracted value back to its source. Traceability is part of the planned interface, not an optional debugging tool.
06 / Document intelligence · Data qualityPlanned project
Lens
Turn messy documents into decisions you can trace.
A proposed document-intelligence tool that extracts structured fields, keeps source references and routes uncertain results to a person for review.
Brief defined / Implementation aheadPlanned work. This page records the intended problem, design direction and evidence needed for a release. No working product or measured result is claimed.
A problem worth exploring.
Business documents vary in layout and quality. Extracting a plausible value is not enough when a downstream system depends on its accuracy.
My contribution
Planned personal project. A defined direction with implementation still ahead.
- Use synthetic or openly licensed documents.
- Keep field-level source references.
- Make uncertain extraction reviewable.
- Evaluate difficult layouts, not just clean samples.
Follow the flow.
Document
Extraction
Source-linked fields
Human review
Validated export
A proposed workflow to test. Architecture and technology choices will be revised as the implementation earns evidence.
What the design needs to prove.
Measure before optimizing
First establish extraction accuracy and review effort. An inference-performance comparison is useful only after the quality baseline is defined.
The bar for a release.
- Planned: field-level accuracy on a versioned document set.
- Planned: a review workflow and hard-document examples.
- Planned: quality, latency and cost comparisons.
Known limitations
- Concept brief only. No extraction accuracy, automation savings or inference optimization is claimed.
Keep asking better questions.
Create a challenging synthetic document set and label its reference fields.
Next project / Live